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Cheatography

Quantitative Method: The survey method Cheat Sheet (DRAFT) by

Be able to: - Identify research topics that are suited for survey research. - Explain key rules for asking questions in a survey - Discuss key concerns in the construction of a survey questionnaire. - explain steps involved in the execution of all type of surveys. - Discuss advantages and disadvantages of different survey research methods - Understand which research projects are most suitable for each survey method. - Explain secondary analysis and its key advantages and disadvantages.

This is a draft cheat sheet. It is a work in progress and is not finished yet.

purposes of survey research

- explor­atory: e.g. what are the general views of the dutch on sending weapons on Ukraine?
- descri­ptive: e.g. what percentage of the dutch population supports sending tanks to Ukraine and what percentage supports sending fighter jets?
- explan­atory: e.g. what are decisive factors that make the dutch supporting sending weapons to Ukraine?

→ these questions inquire after opinions of a large group of people or a popula­tion; a survey offers an overview of the population

→ the latter 2 are most often used; they test hypotheses based on underlying theories
conducting survey research does not necess­arily mean you have to collect data yourself; you can also perform a secondary analysis (=the data collected and processed by one researcher is reanalysed for a different purpose by another)

charac­ter­istics of a survey

- use large scale sample from a population
- using standa­rdised questions
- mostly close-­ended questions
- data are processed statis­tically

surveys capture:
- opinions
- orient­ations
- attitudes
→ of large popula­tions by interv­iewing individual respon­dents
 

survey questions

can be:
- open-e­nded: respon­dent’s own answer
- close-­ended: predefined answers → must be exhaustive and exclusive

the quality of survey research depends on the quality of the questions

criteria:
- clear + precise
- unambi­guous + not double­-ba­rrelled
- relevant → Responders must be competent to answer
- unbiased → they should not contain biased terms
- they should not refers to norms

survey methods

four main methods of admini­stering survey questions:
- self-a­dmi­nis­tered questi­onn­aires: respon­dents have to fill out a copy of the questi­onnaire themselves (CASI)
- interview surveys: face-t­o-face, admini­stered by an interv­iewer (CAPI)
- telephone surveys (CATI)
- online surveys (CAWI)
 

advantages vs. disadv­antages

methods
advantage
disadv­antage
self-a­dmi­nis­tered
• cheaper • less time consuming • more willin­gness to report contro­versial opinions • interv­iewers do not impact answers
- lower response rates - higher risk of receiving incomplete questi­onn­aires - no control over who fills in the questi­onnai
interview
• higher response rate • higher completion rate • more affective in addressing compli­cated issues • possib­ility of making additional observ­ations • control over who answers the questions
- expensive and time consuming - risk of compliance - less willin­gness to respond to sensitive issu

strenghts and weaknessen

strengths:
- get a fairly accurate picture of large population
- can get data on large number of cases
- large number of questions on very different topics give flexib­ility in analyses
- standa­rdised data allows you to compare different respon­dents

weakne­sses:
- social context or life in which respon­dents act/think cannot be captured
- you cannot react to sudden changes in field or the life of respon­dents
- assigning respon­dents scores on the basis of standa­rdised, close-­ended questions may result in certain degree of superf­ici­ality

→ survey research is generally weak on validity (due to artifi­cia­lity) and strong on reliab­ility (due to standa­rdised questions)